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meta-llama-Llama-3.2-3B-2025-03-13-checkpoints – AI Model by Phoenix21 | AlphaNeural AI
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meta-llama-Llama-3.2-3B-2025-03-13-checkpoints
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peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Llama-3.2-3B
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llama3.2
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meta-llama-Llama-3.2-3B-2025-03-13-checkpoints
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.4744
eval_runtime: 944.6944
eval_samples_per_second: 53.356
eval_steps_per_second: 13.34
epoch: 0.0040
step: 200
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
mixed_precision_training: Native AMP
Framework versions
PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.2.0
Datasets 3.3.2
Tokenizers 0.21.1
